A global study shows machine learning improves survival predictions for hospitalised cirrhosis patients, outperforming ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

Artificial intelligence and machine learning are transforming acute respiratory distress syndrome (ARDS) management, enabling ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...